Top Analytics Jobs in Calgary

Lead marketing analytics as the architect of the data-driven growth engine: build BigQuery data schemas, predictive models (attribution, MMM, LTV), agentic AI monitoring, automated orchestration, executive BI, and target-setting frameworks to optimize demand generation and funnel quality across GTM.

Leads 1Password’s analytics engineering function, owning data architecture, roadmap, modeling, semantic layers, BI tooling, pipelines, governance, testing, documentation, and data quality. Manages and develops analytics engineers, establishes technical standards, reviews complex dbt and SQL work, optimizes warehouse performance, and partners with senior leaders across Finance, Marketing, Product, Analytics, and Data Engineering. Builds trusted data foundations supporting company-wide decisions, AI initiatives, and generative BI.

Lead pricing, packaging, and monetization strategy across on-prem, SaaS, and appliance products. Own product line performance, market and competitive analysis, forecasting, and pricing governance. Partner cross-functionally with Product, Sales, Finance, and Operations to guide subscription and consumption transitions, support complex enterprise deals, and deliver executive reporting to inform portfolio investment decisions.

Lead frontend development for the DataLab product, guiding technical direction, architecture, component design, accessibility, performance, and developer experience. Build scalable React and TypeScript interfaces, collaborate with product and backend teams, mentor engineers, and establish UI standards. Use AI-assisted coding tools responsibly and contribute to unit, component, and end-to-end testing with technologies including GraphQL, Jest, Testing Library, Playwright, and Storybook.

Own end-to-end technical relationships for enterprise customers: lead onboarding and complex implementations across cloud data warehouses, drive adoption and expansion, deliver executive QBRs, build AI-powered automations and internal tooling, and enable agentic AI workflows to reduce engineering dependency and accelerate marketing outcomes.

Own and scale Wrapbook’s analytics layer, including ETL/ELT pipelines, data models, governed metrics, semantic layers, canonical datasets, and self-service analytics tools. Partner with Engineering and business stakeholders to define analytical solutions, ensure data quality, optimize warehouse performance, and maintain production reliability through testing, monitoring, alerting, and incident resolution. Establish analytics engineering standards, mentor team members, document data for human and AI consumers, and evaluate new tools.

Embed with client engineering teams to deploy, integrate, and scale enterprise generative AI solutions. Build agentic systems, train and serve LLMs with Vertex AI, integrate models with BigQuery/AlloyDB/Spanner, implement streaming inference pipelines, and ensure operational reliability while collaborating with stakeholders to translate business goals into production-grade architectures.

Build high-performance API services and production-grade Generative AI systems. Design and implement end-to-end RAG pipelines, vector stores, embeddings, and latency-optimized generators. Develop agentic AI using LangChain/CrewAI/Semantic Kernel, integrate LLM APIs and AWS Bedrock, manage CI/CD and ML pipelines, and apply evaluation frameworks to detect hallucinations and optimize performance.

Build and scale the finance function: own core accounting, reporting, close processes, internal controls, compliance, and finance systems. Improve AP/AR, treasury, tax, audit readiness, automation, forecasting, and stakeholder reporting while partnering with the CFO and leadership.

Lead credit policy and underwriting initiatives using Stripe's data and third-party sources. Architect credit policies, analyze portfolio trends, integrate bureau and alternative data, provide risk recommendations, collaborate with product, data science, engineering, and capital markets, and scale risk processes and outsourced workflows.

Lead marketing measurement and analytics across campaign, channel, and funnel; own attribution and forecasting; apply ML/LLM techniques for propensity scoring, forecasting, anomaly detection, and automated insights; manage marketing data stack (Salesforce, MAP, warehouse); build dashboards, deliver executive analyses, and mentor analysts.

Lead growth and player behavior analytics across sportsbook, casino, and poker products. Partner with Revenue Ops, Marketing, Product, and VIP to run retention, bonus optimization, segmentation, funnel/cohort analyses, and A/B tests. Build predictive models and apply ML/AI tooling to generate actionable insights and recommendations that drive engagement, personalization, and ROI.

Designs and delivers data analytics and BI solutions across the analytics lifecycle, produces actionable insights, solves complex problems independently, mentors junior staff, and contributes to policies and technical solutions for large-scope projects.

As the Lead Specialist, you will cultivate client relationships, manage complex intelligence projects, design synthetic environments, and guide operational improvements for mission-driven organizations.

As a Forward Deployed Engineer, you will deploy and support software in secure client environments, troubleshoot complex issues, and ensure effective integration with existing systems. Responsibilities include installation, configuration, client engagement, and refining delivery practices.

As a Simulation Support Specialist, you'll build military simulation scenarios for EASE, translating objectives into setups, engaging with clients, and ensuring outputs reflect real-world operations.

Lead presales engagements to design enterprise data platforms and governance on Microsoft Fabric and Azure Databricks. Conduct discovery workshops, architect governance with Purview/Unity Catalog, define AI-readiness and Copilot access, author proposals/RFP responses, run POCs/demos, and partner with sales and delivery teams to size and transition engagements to managed services.

Use diverse data sources to evaluate product performance, build automated ETL/data workflows, design dashboards and KPIs, own data product quality, and provide analytical insights to guide product and business decisions while establishing monitoring frameworks and best practices.

The Executive IC, Design will directly influence Motion's aesthetic across various platforms by producing high-quality designs and utilizing AI tools, while setting the craft standard for the team.

The role involves owning and shipping a significant product surface at Motion, leveraging AI in engineering workflows, and raising team quality by example.

The GenAI Engineer will design, build, and deploy Generative AI solutions, focusing on reinforcement learning and multi-agent workflows, while collaborating with various teams to enhance model performance.

Design and lead the development of cloud-native Generative AI platforms and solutions, ensuring scalability, security, and integration with enterprise applications.

Design, build, and deploy scalable ML solutions using GCP and Vertex AI. Collaborate with teams to operationalize models and monitor performance.

Lead design and delivery of analytics, dashboards, and data models for Compensation and Benefits. Partner with Total Rewards, HR, Finance, and Technology to provide actionable insights, drive pay equity and regulatory reporting, and implement automation, data governance, and predictive analytics to improve program effectiveness and decision-making.

Lead implementation of enterprise web and app measurement solutions, translating business needs into technical guides, performing QA, auditing analytics deployments, training stakeholders, and recommending scalable, maintainable analytics and tag management practices.